The JobApply MCP Server offers tools to analyze job postings and assist in creating optimized resumes and cover letters. It exposes a Job Posting Scraper to extract descriptions from URLs, a Document Reader capable of parsing resumes and other documents, and a high-level workflow to assist in drafting cover letters tailored to specific roles. You can interact with these capabilities via the MCP/Claude integration by requesting a job description and providing your resume, then asking the agent to generate targeted application materials. Example workflows include feeding a job posting URL and your resume to the server, then requesting a tailored cover letter and ATS-friendly resume tweaks. The server is designed to help you quickly translate job requirements into updated application content.

Prerequisites:

• Python 3.8+ installed
• A Python virtual environment tool (optional but recommended)
• uv (Package manager) installed and initialized

Step-by-step:

1. Clone the repository: git clone <repository-url> cd <repository-directory>

2. Create and activate a virtual environment (optional but recommended): python -m venv venv

   On Windows

   venv\Scripts\activate

   On macOS/Linux

   source venv/bin/activate

3. Install Python dependencies: pip install -r requirements.txt

4. Install and initialize uv (if not already installed): uv init uv add mcp[cli]

5. Start or register the MCP server with Claude/MCP wrapper (example): mcp install main.py

6. Run the server locally (example, depending on your setup): uvx sakshee5-jobapply-mcp-server

Note: Replace repository URL and server entry points with the actual project specifics as needed.

Tips and common issues:

• Ensure your Python environment has the necessary dependencies installed from requirements.txt.
• If you encounter module not found errors, verify that you are in the active virtual environment where you installed dependencies.
• When using uv, confirm that the MCP server entry point (e.g., main.py) is accessible and correctly configured for Claude/Desktop integration.
• The scrape_job_posting tool relies on accessible URLs; some job sites may block automated scraping, so consider providing alternative sources if needed.
• For privacy and data handling, avoid sending sensitive personal information when testing; use mock data during development.
• Environment variables (if any) should be documented in a separate config or .env file as required by your deployment environment.